Policy development for pandemic response using system dynamics: A case study on COVID-19
College
Gokongwei College of Engineering
Department/Unit
Industrial Engineering
Document Type
Article
Source Title
Process Integration and Optimization for Sustainability
Publication Date
1-1-2020
Abstract
The coronavirus disease 2019 (COVID-19) outbreak has burdened several countries. Its high transmissibility and mortality rate have caused devastating impacts on human lives. This has led countries to implement control strategies, such as social distancing, travel bans, and community lockdowns, with varying levels of success. However, a disease outbreak can cause significant economic disruption from business closures and risk avoidance behaviors. This paper raises policy recommendations through a system dynamics modeling approach. The developed model captures relationships, feedbacks, and delays present in a disease transmission system. The dynamics of several policies are analyzed and assessed based on effectiveness in mitigating infection and the resulting economic strain. © 2020, Springer Nature Singapore Pte Ltd.
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Digitial Object Identifier (DOI)
10.1007/s41660-020-00130-x
Recommended Citation
Sy, C., Bernardo, E., Miguel, A., San Juan, J., Mayol, A., Ching, P., Culaba, A., Ubando, A. T., & Mutuc, J. (2020). Policy development for pandemic response using system dynamics: A case study on COVID-19. Process Integration and Optimization for Sustainability https://doi.org/10.1007/s41660-020-00130-x
Disciplines
Operations Research, Systems Engineering and Industrial Engineering | Public Affairs, Public Policy and Public Administration
Keywords
COVID-19 (Disease); COVID-19 Pandemic, 2020—-Influence; Medical policy; Public health administration
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